20240918
14483000
1.0
FALSE
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'><WorkspaceConnectionString>DATABASE=C:\Users\Nuhn\Desktop</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>VG250_GEM.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>GEM1222</field_name><field_type>LONG</field_type><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
ExportFeatures VG250_GEM Q:\Projekte\Deutschlandatlas\4_Daten\DE-Atlas\03_Fachdaten\2024_HA\VG250_GEM22.shp "GF = 4" NOT_USE_ALIAS "OBJID "OBJID" true true false 16 Text 0 0,First,#,VG250_GEM,OBJID,0,15;BEGINN "BEGINN" true true false 8 Date 0 0,First,#,VG250_GEM,BEGINN,-1,-1;ADE "ADE" true true false 2 Short 0 2,First,#,VG250_GEM,ADE,-1,-1;GF "GF" true true false 2 Short 0 2,First,#,VG250_GEM,GF,-1,-1;BSG "BSG" true true false 2 Short 0 2,First,#,VG250_GEM,BSG,-1,-1;ARS "ARS" true true false 12 Text 0 0,First,#,VG250_GEM,ARS,0,11;AGS "AGS" true true false 8 Text 0 0,First,#,VG250_GEM,AGS,0,7;SDV_ARS "SDV_ARS" true true false 12 Text 0 0,First,#,VG250_GEM,SDV_ARS,0,11;GEN "GEN" true true false 60 Text 0 0,First,#,VG250_GEM,GEN,0,59;BEZ "BEZ" true true false 60 Text 0 0,First,#,VG250_GEM,BEZ,0,59;IBZ "IBZ" true true false 2 Short 0 2,First,#,VG250_GEM,IBZ,-1,-1;BEM "BEM" true true false 60 Text 0 0,First,#,VG250_GEM,BEM,0,59;NBD "NBD" true true false 4 Text 0 0,First,#,VG250_GEM,NBD,0,3;SN_L "SN_L" true true false 2 Text 0 0,First,#,VG250_GEM,SN_L,0,1;SN_R "SN_R" true true false 1 Text 0 0,First,#,VG250_GEM,SN_R,0,0;SN_K "SN_K" true true false 2 Text 0 0,First,#,VG250_GEM,SN_K,0,1;SN_V1 "SN_V1" true true false 2 Text 0 0,First,#,VG250_GEM,SN_V1,0,1;SN_V2 "SN_V2" true true false 2 Text 0 0,First,#,VG250_GEM,SN_V2,0,1;SN_G "SN_G" true true false 3 Text 0 0,First,#,VG250_GEM,SN_G,0,2;FK_S3 "FK_S3" true true false 2 Text 0 0,First,#,VG250_GEM,FK_S3,0,1;NUTS "NUTS" true true false 5 Text 0 0,First,#,VG250_GEM,NUTS,0,4;ARS_0 "ARS_0" true true false 12 Text 0 0,First,#,VG250_GEM,ARS_0,0,11;AGS_0 "AGS_0" true true false 8 Text 0 0,First,#,VG250_GEM,AGS_0,0,7;WSK "WSK" true true false 8 Date 0 0,First,#,VG250_GEM,WSK,-1,-1;EWZ "EWZ" true true false 12 Double 0 12,First,#,VG250_GEM,EWZ,-1,-1;KFL "KFL" true true false 16 Double 0 0,First,#,VG250_GEM,KFL,-1,-1;DLM_ID "DLM_ID" true true false 16 Text 0 0,First,#,VG250_GEM,DLM_ID,0,15;GEM1222 "GEM1222" true true false 10 Long 0 10,First,#,VG250_GEM,GEM1222,-1,-1" #
ExportFeatures VG250_GEM22 Q:\Projekte\Deutschlandatlas\4_Daten\DE-Atlas\03_Fachdaten\2024_HA\VG250_GEM22_joinall.shp # NOT_USE_ALIAS "OBJID "OBJID" true true false 16 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.OBJID,0,15;BEGINN "BEGINN" true true false 8 Date 0 0,First,#,VG250_GEM22,VG250_GEM22.BEGINN,-1,-1;ADE "ADE" true true false 2 Short 0 2,First,#,VG250_GEM22,VG250_GEM22.ADE,-1,-1;GF "GF" true true false 2 Short 0 2,First,#,VG250_GEM22,VG250_GEM22.GF,-1,-1;BSG "BSG" true true false 2 Short 0 2,First,#,VG250_GEM22,VG250_GEM22.BSG,-1,-1;ARS "ARS" true true false 12 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.ARS,0,11;AGS "AGS" true true false 8 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.AGS,0,7;SDV_ARS "SDV_ARS" true true false 12 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.SDV_ARS,0,11;GEN "GEN" true true false 60 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.GEN,0,59;BEZ "BEZ" true true false 60 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.BEZ,0,59;IBZ "IBZ" true true false 2 Short 0 2,First,#,VG250_GEM22,VG250_GEM22.IBZ,-1,-1;BEM "BEM" true true false 60 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.BEM,0,59;NBD "NBD" true true false 4 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.NBD,0,3;SN_L "SN_L" true true false 2 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.SN_L,0,1;SN_R "SN_R" true true false 1 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.SN_R,0,0;SN_K "SN_K" true true false 2 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.SN_K,0,1;SN_V1 "SN_V1" true true false 2 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.SN_V1,0,1;SN_V2 "SN_V2" true true false 2 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.SN_V2,0,1;SN_G "SN_G" true true false 3 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.SN_G,0,2;FK_S3 "FK_S3" true true false 2 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.FK_S3,0,1;NUTS "NUTS" true true false 5 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.NUTS,0,4;ARS_0 "ARS_0" true true false 12 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.ARS_0,0,11;AGS_0 "AGS_0" true true false 8 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.AGS_0,0,7;WSK "WSK" true true false 8 Date 0 0,First,#,VG250_GEM22,VG250_GEM22.WSK,-1,-1;EWZ "EWZ" true true false 12 Double 0 12,First,#,VG250_GEM22,VG250_GEM22.EWZ,-1,-1;KFL "KFL" true true false 19 Double 0 0,First,#,VG250_GEM22,VG250_GEM22.KFL,-1,-1;DLM_ID "DLM_ID" true true false 16 Text 0 0,First,#,VG250_GEM22,VG250_GEM22.DLM_ID,0,15;GEM1222 "GEM1222" true true false 10 Long 0 10,First,#,VG250_GEM22,VG250_GEM22.GEM1222,-1,-1;Gebietskennziffer "Gebietskennziffer" true true false 4 Long 0 0,First,#,VG250_GEM22,gem22.csv.Gebietskennziffer,-1,-1,VG250_GEM22,gem22.csv.Gebietskennziffer,-1,-1;name "name" true true false 8000 Text 0 0,First,#,VG250_GEM22,gem22.csv.name,0,7999,VG250_GEM22,gem22.csv.name,0,7999;bev_dicht "bev_dicht" true true false 8 Double 0 0,First,#,VG250_GEM22,gem22.csv.bev_dicht,-1,-1,VG250_GEM22,gem22.csv.bev_dicht,-1,-1;bev_entw "bev_entw" true true false 8 Double 0 0,First,#,VG250_GEM22,gem22.csv.bev_entw,-1,-1,VG250_GEM22,gem22.csv.bev_entw,-1,-1" #
ExportFeatures VG250_GEM22_joinall Q:\Projekte\Deutschlandatlas\4_Daten\DE-Atlas\03_Fachdaten\2024_HA\Gemeinde22.gdb\st_einnkr # NOT_USE_ALIAS "GF "GF" true true false 2 Short 0 0,First,#,VG250_GEM22_joinall,VG250_GEM22_joinall.GF,-1,-1;GEN "GEN" true true false 60 Text 0 0,First,#,VG250_GEM22_joinall,VG250_GEM22_joinall.GEN,0,59;BEZ "BEZ" true true false 60 Text 0 0,First,#,VG250_GEM22_joinall,VG250_GEM22_joinall.BEZ,0,59;Gebietsken "Gebietsken" true true false 10 Long 0 0,First,#,VG250_GEM22_joinall,VG250_GEM22_joinall.Gebietsken,-1,-1;name "name" true true false 254 Text 0 0,First,#,VG250_GEM22_joinall,VG250_GEM22_joinall.name,0,253;st_einnkr "st_einnkr" true true false 8 Double 0 0,First,#,VG250_GEM22_joinall,gem22 - neu.csv.st_einnkr,-1,-1,VG250_GEM22_joinall,gem22 - neu.csv.st_einnkr,-1,-1" #
st_einnkr
002
0.000
file://\\bkg\Daten\Projekte\Deutschlandatlas\4_Daten\DE-Atlas\03_Fachdaten\2024_HA\Gemeinde22.gdb
Local Area Network
Projected
GCS_ETRS_1989
Linear Unit: Meter (1.000000)
ETRS_1989_LCC_Germany_E-N
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'><WKT>PROJCS["ETRS_1989_LCC_Germany_E-N",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",10.5],PARAMETER["Standard_Parallel_1",48.66666666666666],PARAMETER["Standard_Parallel_2",53.66666666666666],PARAMETER["Latitude_Of_Origin",51.0],UNIT["Meter",1.0],AUTHORITY["EPSG",5243]]</WKT><XOrigin>-35955700</XOrigin><YOrigin>-30799000</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>5243</WKID><LatestWKID>5243</LatestWKID></ProjectedCoordinateSystem>
20241008
15002900
20241008
15002900
Microsoft Windows 10 Version 10.0 (Build 17763) ; Esri ArcGIS 13.2.2.49743
st_einnkr_HA2024
DeAtlas
Steuereinnahmekraft je Einwohner__in im Jahr 2022 in €
File Geodatabase Feature Class
0.000
dataset
EPSG
7.5.9(10.1.0)
0
Simple
FALSE
0
TRUE
FALSE
st_einnkr
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
GF
GF
SmallInteger
2
0
0
GEN
GEN
String
60
0
0
BEZ
BEZ
String
60
0
0
Gebietsken
Gebietsken
Integer
4
0
0
name
name
String
254
0
0
st_einnkr
st_einnkr
Double
8
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20241008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